# New Construction Properties List (Emails) (`kawsar/new-construction-properties-list-emails`) Actor New construction properties list tool that extracts new builds and pre-construction real estate, giving investors access to fresh developer inventory instantly. - **URL**: https://apify.com/kawsar/new-construction-properties-list-emails.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## New Construction Properties List: Find Pre-Construction and New Build Homes Access an up-to-date new construction properties list with a few simple parameters. Finding pre-construction homes or newly built developments usually involves bouncing between scattered builder websites and local developer landing pages. We built this tool to pull active new construction directly into a clean, structured JSON format so you can easily analyze up-and-coming developments. Instead of navigating clunky maps, you drop in a state or city, and get exactly what properties are being actively built or recently launched. ### Use cases - **Market analysis**: pull a fresh new construction properties list for a specific state to map developer hotspots and pricing trends. - **Lead generation**: extract direct builder contact details and office information representing newly built properties. - **Wholesaling & investing**: monitor completely new inventory entering your target zipcode to stay ahead of the standard resale market. - **Competitor tracking**: run automated checks on new builds to export precise lot sizes and build years for new community phases. ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `postal_code` | string | — | US ZIP code. Most precise location filter. | | `state_code` | string | `CA` | 2-letter US state code. Example: `TX`. | | `city` | string | `Los Angeles` | City name. Very helpful when combined with state_code. | | `propertyType` | array | — | Property types. Options: `single_family`, `condo_townhome`, etc. | | `beds_min` / `beds_max` | integer | — | Filter by bedroom count. | | `list_price_min` / `max` | integer | — | Active asking price range in USD. | | `maxItems` | integer | `5000` | Total maximum properties to extract per run. | | `proxyConfiguration` | object | Datacenter | Proxy settings to use for requests. Leave as default unless experiencing blocking. | ### Example Input This example pulls a new construction properties list in California, specifically looking at single-family builds. ```json { "state_code": "CA", "city": "Los Angeles", "propertyType": ["single_family"], "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ```` ### Output Fields Explained The tool extracts a massive list of properties and deeply flattens the details so you don't have to navigate nested arrays just to find an email or phone number. | Field | Type | Description | |-------|------|-------------| | `property_id` | string | Internal permanent identifier for the build | | `listing_id` | string | Internal listing ID associated with the builder's source | | `permalink` | string | The direct slug for the listing (useful to build relative URLs) | | `status` | string | Either `for_sale` or `ready_to_build` | | `list_price` | integer | The current asking price in USD | | `list_date` | string | The ISO 8601 date the listing hit the market | | `type` / `sub_type` | string | Classification of property (single\_family, condo, etc.) | | `beds` / `baths_consolidated` | integer | Bedroom and bathroom counts | | `sqft` | integer | Total interior square footage | | `lot_sqft` | integer | Total exterior land square footage | | `year_built` | integer | The year the property was originally constructed | | `garage` | integer | Number of garage spaces | | `address_line` | string | The full street address of the property or lot | | `city` / `state` / `state_code` / `postal_code` | string | Detailed address properties | | `latitude` / `longitude` | number | Exact GPS coordinates | | `county_name` / `county_fips` | string | Property county information, excellent for demographic matches | | `primary_photo_url` | string | Direct link to the featured display image | | `is_new_construction` | boolean | Always `true` for these specific builds | | `advertiser_1_name` / `advertiser_2_name` | string | Name of the primary developer or listing agent | | `advertiser_1_email` / `advertiser_2_email` | string | Direct contact emails for the representation | | `advertiser_1_office` / `advertiser_2_office` | string | The parent office or developer brand handling the property | | `advertiser_1_phones` / `advertiser_2_phones` | array | Phone numbers for the primary and secondary contacts | ### FAQ **Where is the data coming from?** The tool extracts property data from major public real estate networks, specifically activating backend filters for listings flagged exclusively as new construction or ready-to-build. **Are there pre-construction lots included?** Yes. Since the API status queries target `for_sale` and `ready_to_build`, you will often find properties categorized as ready to be built in newer developing communities! # Actor input Schema ## `postal_code` (type: `string`): Filter properties exactly by a 5-digit US ZIP or postal code. This is the most reliable way to target a specific neighborhood. Example: '90210' for Beverly Hills, CA. ## `state_code` (type: `string`): Filter properties broadly by a 2-letter US state code. Best used in combination with other filters. Example: 'CA' for California, 'NY' for New York. ## `city` (type: `string`): Filter properties by the exact city name. Usually best to combine with state\_code. Example: 'Los Angeles' or 'Austin'. ## `street_name` (type: `string`): Target properties located on a specific street name. Example: 'Sunset Blvd' or 'Main St'. ## `address` (type: `string`): Filter for a very specific property address line. Example: '123 Fake Street'. ## `propertyType` (type: `array`): Filter the results by specific property types. Supported options include: apartment, condo\_townhome, condo\_townhome\_rowhome\_coop, condo, condos, single\_family, multi\_family, mobile, land, farm, other. ## `keywords` (type: `array`): Filter properties by specific amenities or descriptive features. Options include: basement, carport, central\_air, den, hardwood\_floors, pool, waterfront, ocean\_view, fireplace. ## `beds_min` (type: `integer`): Minimum threshold for the number of bedrooms. ## `beds_max` (type: `integer`): Maximum threshold for the number of bedrooms. ## `baths_min` (type: `integer`): Minimum threshold for the number of bathrooms (including half-baths). ## `baths_max` (type: `integer`): Maximum threshold for the number of bathrooms. ## `list_price_min` (type: `integer`): Minimum active asking list price in USD. ## `list_price_max` (type: `integer`): Maximum active asking list price in USD. ## `sold_price_min` (type: `integer`): Minimum sold price in USD. ## `sold_price_max` (type: `integer`): Maximum sold price in USD. ## `sold_date_min` (type: `string`): Earliest date the property was sold in YYYY-MM-DD format. ## `sold_date_max` (type: `string`): Latest date the property was sold in YYYY-MM-DD format. ## `sqft_min` (type: `integer`): Minimum interior (living space) square footage. ## `sqft_max` (type: `integer`): Maximum interior (living space) square footage. ## `lot_sqft_min` (type: `integer`): Minimum exterior lot size in square feet. ## `lot_sqft_max` (type: `integer`): Maximum exterior lot size in square feet. ## `year_built_min` (type: `integer`): Filter by the year the construction was completed. ## `year_built_max` (type: `integer`): Set a maximum year of completion to target historic or older builds. ## `hoa_fee_max` (type: `integer`): Maximum Homeowners Association monthly fee allowed. ## `no_hoa_fee` (type: `boolean`): Check this box to exclusively show properties that have absolutely no Homeowners Association fee attached. ## `open_house_min` (type: `string`): Filter for properties with scheduled open houses from this date onward (Format: YYYY-MM-DD). ## `open_house_max` (type: `string`): Filter for properties with scheduled open houses up until this date (Format: YYYY-MM-DD). ## `limit` (type: `integer`): The number of listings fetched in a single API call. ## `offset` (type: `integer`): The exact positional index the scraper starts at. ## `maxItems` (type: `integer`): The hard cap on total listings the scraper will collect across all paginated API calls. ## `timeoutSecs` (type: `integer`): If the scraper surpasses this runtime duration, it will safely halt and exit. ## `requestTimeoutSecs` (type: `integer`): How long the scraper waits for the server to respond per API query slice. ## `proxyConfiguration` (type: `object`): Select proxies to obscure IP and evade blocking. Note: USA datacenter proxy is set as the default. ## Actor input object example ```json { "postal_code": "90210", "state_code": "CA", "city": "Los Angeles", "propertyType": [ "condo_townhome", "single_family" ], "keywords": [ "basement", "pool" ], "beds_min": 1, "beds_max": 5, "baths_min": 1, "list_price_min": 200000, "list_price_max": 900000, "sold_date_min": "2022-03-25", "sold_date_max": "2022-09-25", "year_built_min": 2017, "year_built_max": 2023, "no_hoa_fee": false, "limit": 200, "offset": 0, "maxItems": 5000, "timeoutSecs": 300, "requestTimeoutSecs": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "state_code": "CA", "city": "Los Angeles", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/new-construction-properties-list-emails").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "state_code": "CA", "city": "Los Angeles", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("kawsar/new-construction-properties-list-emails").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "state_code": "CA", "city": "Los Angeles", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }' | apify call kawsar/new-construction-properties-list-emails --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/new-construction-properties-list-emails", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "New Construction Properties List (Emails)", "description": "New construction properties list tool that extracts new builds and pre-construction real estate, giving investors access to fresh developer inventory instantly.", "version": "0.0", "x-build-id": "FyUSRxR78mgq4HuAS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~new-construction-properties-list-emails/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-new-construction-properties-list-emails", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kawsar~new-construction-properties-list-emails/runs": { "post": { "operationId": "runs-sync-kawsar-new-construction-properties-list-emails", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kawsar~new-construction-properties-list-emails/run-sync": { "post": { "operationId": "run-sync-kawsar-new-construction-properties-list-emails", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "postal_code": { "title": "Postal code", "type": "string", "description": "Filter properties exactly by a 5-digit US ZIP or postal code. This is the most reliable way to target a specific neighborhood. Example: '90210' for Beverly Hills, CA." }, "state_code": { "title": "State code", "type": "string", "description": "Filter properties broadly by a 2-letter US state code. Best used in combination with other filters. Example: 'CA' for California, 'NY' for New York." }, "city": { "title": "City", "type": "string", "description": "Filter properties by the exact city name. Usually best to combine with state_code. Example: 'Los Angeles' or 'Austin'." }, "street_name": { "title": "Street name", "type": "string", "description": "Target properties located on a specific street name. Example: 'Sunset Blvd' or 'Main St'." }, "address": { "title": "Address", "type": "string", "description": "Filter for a very specific property address line. Example: '123 Fake Street'." }, "propertyType": { "title": "Property type", "type": "array", "description": "Filter the results by specific property types. Supported options include: apartment, condo_townhome, condo_townhome_rowhome_coop, condo, condos, single_family, multi_family, mobile, land, farm, other.", "items": { "type": "string" } }, "keywords": { "title": "Feature keywords", "type": "array", "description": "Filter properties by specific amenities or descriptive features. Options include: basement, carport, central_air, den, hardwood_floors, pool, waterfront, ocean_view, fireplace.", "items": { "type": "string" } }, "beds_min": { "title": "Min bedrooms", "type": "integer", "description": "Minimum threshold for the number of bedrooms." }, "beds_max": { "title": "Max bedrooms", "type": "integer", "description": "Maximum threshold for the number of bedrooms." }, "baths_min": { "title": "Min bathrooms", "type": "integer", "description": "Minimum threshold for the number of bathrooms (including half-baths)." }, "baths_max": { "title": "Max bathrooms", "type": "integer", "description": "Maximum threshold for the number of bathrooms." }, "list_price_min": { "title": "Min list price", "type": "integer", "description": "Minimum active asking list price in USD." }, "list_price_max": { "title": "Max list price", "type": "integer", "description": "Maximum active asking list price in USD." }, "sold_price_min": { "title": "Min sold price", "type": "integer", "description": "Minimum sold price in USD." }, "sold_price_max": { "title": "Max sold price", "type": "integer", "description": "Maximum sold price in USD." }, "sold_date_min": { "title": "Sold date from", "type": "string", "description": "Earliest date the property was sold in YYYY-MM-DD format." }, "sold_date_max": { "title": "Sold date to", "type": "string", "description": "Latest date the property was sold in YYYY-MM-DD format." }, "sqft_min": { "title": "Min square feet", "type": "integer", "description": "Minimum interior (living space) square footage." }, "sqft_max": { "title": "Max square feet", "type": "integer", "description": "Maximum interior (living space) square footage." }, "lot_sqft_min": { "title": "Min lot square feet", "type": "integer", "description": "Minimum exterior lot size in square feet." }, "lot_sqft_max": { "title": "Max lot square feet", "type": "integer", "description": "Maximum exterior lot size in square feet." }, "year_built_min": { "title": "Year built from", "type": "integer", "description": "Filter by the year the construction was completed." }, "year_built_max": { "title": "Year built to", "type": "integer", "description": "Set a maximum year of completion to target historic or older builds." }, "hoa_fee_max": { "title": "Max HOA fee", "type": "integer", "description": "Maximum Homeowners Association monthly fee allowed." }, "no_hoa_fee": { "title": "No HOA fee", "type": "boolean", "description": "Check this box to exclusively show properties that have absolutely no Homeowners Association fee attached.", "default": false }, "open_house_min": { "title": "Open house from", "type": "string", "description": "Filter for properties with scheduled open houses from this date onward (Format: YYYY-MM-DD)." }, "open_house_max": { "title": "Open house to", "type": "string", "description": "Filter for properties with scheduled open houses up until this date (Format: YYYY-MM-DD)." }, "limit": { "title": "Results per pagination page", "minimum": 1, "maximum": 200, "type": "integer", "description": "The number of listings fetched in a single API call.", "default": 200 }, "offset": { "title": "Initial page offset", "minimum": 0, "type": "integer", "description": "The exact positional index the scraper starts at.", "default": 0 }, "maxItems": { "title": "Maximum total results to scrape", "minimum": 1, "maximum": 5000, "type": "integer", "description": "The hard cap on total listings the scraper will collect across all paginated API calls.", "default": 5000 }, "timeoutSecs": { "title": "Overall actor timeout (seconds)", "minimum": 30, "maximum": 3600, "type": "integer", "description": "If the scraper surpasses this runtime duration, it will safely halt and exit.", "default": 300 }, "requestTimeoutSecs": { "title": "Per-request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long the scraper waits for the server to respond per API query slice.", "default": 30 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to obscure IP and evade blocking. Note: USA datacenter proxy is set as the default." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```